Top Data & Analytics Jobs

The job involves designing and maintaining data pipelines, building data models, creating dashboards for IT performance insights, collaborating with stakeholders, ensuring data quality, and keeping up with new technologies.

The Process Intelligence Engineer develops data analytics solutions for logistics and supply chain operations, transforming business questions into actionable insights and automated reporting systems.

Apply advanced analytics, machine learning, and optimization techniques to solve supply chain and logistics problems (network design, routing, warehousing). Develop proofs-of-concept, lead cross-functional improvement projects, manage program lifecycle, produce reporting (Tableau/Power BI), and collaborate with stakeholders to deploy quantifiable supply chain improvements.

Partner with engineers to translate wafer experiment workflows into data requirements; design and maintain metrics, dashboards, and reports using ClickHouse, SQL, and Python; specify and validate data pipelines (AWS/Kafka/ClickHouse); reconcile MES, tool logs, and metrology data; develop reusable Python/SQL analyses; document datasets and pipelines; train users and support BI tools; and collaborate with data scientists to operationalize models and automate large-scale data ingestion and ETL workflows.

Conduct complex market analysis and product forecasting, manage market data collection and segmentation, and support marketing strategies and business reviews.

The Business Intelligence Analyst will manage a team to develop and report cost data, oversee BI strategy, and drive analytics solutions across the organization, ensuring alignment with business requirements and technical standards.

Lead RFP analytics and supplier management for global logistics. Extract, cleanse, and re-rate large datasets, build reports with Data Architecture, support Coupa-based RFPs and contract lifecycle, manage fuel surcharge and currency analyses, and provide data-driven recommendations to Commodity Business Managers.